Commerce Leaders Are Entering a New Operating Reality in 2026
The year ahead represents a structural shift for digital commerce. AI is no longer a future-facing experiment. It is actively reshaping how consumers discover products, how decisions are made, and how purchases are executed.
In conversations with retail executives, analysts, and commerce technology leaders at NRF 2026, several themes emerged with remarkable consistency: agentic commerce is accelerating, search is converging with AI merchandising, product data foundations are becoming essential, and the winners in 2026 will be those who pair innovation with operational readiness.
Across these conversations, we heard a remarkably aligned perspective from leaders spanning the commerce ecosystem — from retailers like American Furniture Warehouse and Harvey Norman, to technology innovators like Deck Commerce, to strategy and consulting voices from McFadyen Digital, The O Alliance Consulting, and Tidal Commerce.
Together, these executives and analysts offered a grounded view of what’s next. They explored how agentic experiences will reshape shopping, why AI-driven discovery is rewriting the rules of visibility, and what retailers must do now to compete in 2026.
Agentic Commerce Is Becoming the New Front Door to Shopping
One of the clearest trends shaping 2026 is the rise of agentic commerce. Where intelligent systems don’t simply assist shoppers, but guide decisions and complete purchases on their behalf.
Commerce leaders increasingly believe the traditional ecommerce journey—browsing category pages, filtering endlessly, reading reviews, then checking out—is being compressed into conversational, agent-led experiences.
Chris Deck, Founder and CEO of Deck Commerce, captured the magnitude of this shift: “The days of browsing to a website, clicking around on category pages, and doing all the research yourself are going to be a thing of the past in the next two to three years.”
In 2026, the competitive question becomes less about driving shoppers to a site and more about ensuring your products, data, and brand are positioned to surface inside the agent-driven journey.
Jeff Mikos, Digital Commerce Strategy Practice Lead at McFadyen Digital, emphasized that discovery itself is already moving away from keyword-based search toward AI agents operating both on-site and off-site. Retailers and brands will need entirely new strategies for influencing how these systems recommend, prioritize, and transact.
High-Consideration Categories Will Demand New Workflows and Trust
While agentic purchasing may feel natural for low-cost, repeatable purchases, the real complexity, and opportunity, lies in applying these models to high-consideration retail.
Furniture, appliances, and other big-ticket categories require confidence, context, and far more decision support than a simple “buy now” prompt.
Jason Franklin, Chief Information and Technology Officer at American Furniture Warehouse, explained the difference: “Agentic purchasing is going to transform the industry once we get the workflows right, especially in ways that minimize returns and ensure customers really wanted that sofa.”
For these categories, the future of agentic commerce will depend on systems that reduce uncertainty, guide consumers through complex decisions, and prevent costly return cycles.
Search, Merchandising, and Discovery Are Converging Through AI
Another defining trend for 2026 is that discovery is no longer confined to the search bar. Search itself is evolving into an AI-driven merchandising layer, fundamentally changing how consumers find products.
Brent Liberty, Enterprise Solutions Consultant at Tidal Commerce, pointed to the convergence happening across the industry: “We’re going to see AI-level search replacing traditional search as the engine for product marketing and merchandising.”
This shift also changes the technology landscape. Rather than relying on monolithic platforms that attempt to do everything, commerce leaders increasingly expect an ecosystem of specialized partners and trusted solutions to shape the next era.
Product Data Readiness Will Determine Visibility in LLM Channels
As discovery moves into AI-mediated environments, retailers are realizing that visibility will depend on foundational readiness, not surface-level optimization.
Omar Qari, CEO of Logicbroker, noted that many retailers are now investing heavily in structuring their catalogs, recognizing that product data quality is becoming a prerequisite for being surfaced in LLM-driven discovery channels: “Retailers are putting resources into bringing structure into the product catalog, because that’s what will allow them to be properly discovered in this new channel of search.”
In 2026, product content, enrichment, and data consistency won’t just improve onsite search. They will determine whether a retailer can compete in an ecosystem where AI agents increasingly mediate product recommendations.
AI Investment Must Prove ROI, Integration Wins Long-Term
While AI dominates the conversation, commerce leaders are increasingly pragmatic about where value is being realized today.
Andrea Weiss, Founder of The O Alliance Consulting, emphasized that retailers are demanding clear payback, particularly in areas that reduce costs or accelerate measurable outcomes: “People are looking for ROI. They want something that will have a payback, and the sooner the better.”
The strongest near-term returns are often emerging in operational automation: improving efficiency, streamlining workflows, and reducing manual effort across the commerce enterprise.
At the same time, leaders caution that the long-term winners will be those who treat AI not as a tool layered onto one function, but as an integrated capability across the organization.
Retailers Are Not Moving at the Same Pace — Maturity Defines Adoption
Another consistent reality shaping 2026 is that AI adoption is not uniform. The difference is less about category and more about organizational readiness.
Brendan Witcher, Retail and eCommerce Industry Analyst, explained that retailers are at vastly different maturity levels depending on budget, culture, and operational capacity: “Not every company is in the same position. AI adoption depends far more on where they are in their overall technology journey.”
The most effective organizations are those that adopt AI at a pace they can sustain, without losing focus on the consumer and the fundamentals of retail execution.
AI Saturation Creates a New Visibility Challenge for Smaller Players
Finally, 2026 will bring a growing challenge: as AI accelerates content production and competitive noise, differentiation becomes harder, especially for smaller and niche retailers.
Many of the most advanced AI innovations are being built with the largest players in mind, leaving mid-market organizations questioning how quickly they can access the same advantages. In a world where barriers to entry are lower and content volume is exploding, retailers will need stronger partner ecosystems, sharper positioning, and better infrastructure to maintain visibility.
2026 Will Belong to Retailers Who Build for Agent-Led Commerce
The trends shaping 2026 are not isolated. They are converging: agentic commerce, AI-driven discovery, catalog readiness, operational ROI, and ecosystem trust are all accelerating together.
The retailers who win in the year ahead will not be those chasing AI headlines. They will be the ones building the data foundations, workflows, and partner strategies required to compete in a world where intelligent systems increasingly mediate how consumers discover and purchase.
